Cargando…

Hands-on data science with R: techniques to perform data manipulation and mining to build smart analytical models using R

Detalles Bibliográficos
Autores principales:	Lanzetta, Vitor Bianchi, Dasgupta, Nataraj, Anjoleto Farias, Ricardo
Lenguaje:	eng
Publicado:	Packt Publishing 2018
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2659242

Ejemplares similares

Practical big data analytics: hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
por: Dasgupta, Nataraj
Publicado: (2018)

R data visualization recipes: a cookbook with 65+ data visualization recipes for smarter decision-making
por: Lanzetta, Vitor Bianchi
Publicado: (2017)

Learning data mining with Python: use Python to manipulate data and build predictive models
por: Layton, Robert
Publicado: (2017)

Data Mining with Rattle and R
por: Williams, Graham
Publicado: (2011)

Data mining applications with R
por: Zhao, Yanchang, et al.
Publicado: (2014)

Customer and business analytics: applied data mining for business decision making using R
por: Putler, Daniel S, et al.
Publicado: (2012)

Data mining and predictive analytics
por: Larose, Daniel T, et al.
Publicado: (2015)

Data analysis with R: a comprehensive guide to manipulating, analyzing, and visualizing data in R
por: Fischetti, Tony
Publicado: (2018)

Big data analytics with R and Hadoop
por: Prajapati, Vignesh
Publicado: (2013)

Social media data mining and analytics
por: Szabó, Gábor, et al.
Publicado: (2019)

R data analysis projects: build end to end analytics systems to get deeper insights from your data
por: Subramanian, Gopi
Publicado: (2017)

Data mining algorithms : explained using R
por: Cichosz, Pawel
Publicado: (2015)

Data mining with R: learning with case studies
por: Torgo, Luis
Publicado: (2016)

Advanced machine learning with R: tackle data analytics and machine learning challenges and build complex applications with R 3.5
por: Lesmeister, Cory, et al.
Publicado: (2019)

Marketing data science: modeling techniques in predictive analytics with R and Python
por: Miller, Thomas W
Publicado: (2015)

Big data analytics strategies for the smart grid
por: Stimmel, Carol L
Publicado: (2015)

Big data analytics with R: utilize R to uncover hidden patterns in your big data
por: Walkowiak, Simon
Publicado: (2016)

IBM SPSS Modeler essentials: effective techniques for building powerful data mining and predictive analytics solutions
por: Salcedo, Jesus, et al.
Publicado: (2017)

IBM SPSS modeler essentials: effective techniques for building powerful data mining and predictive analytics solutions
por: McCormick, Keith, et al.
Publicado: (2017)

Hands-on geospatial analysis with R and QGIS: a beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
por: Islam, Shammunul
Publicado: (2018)

Using R to unlock the value of big data: big data analytics with Oracle R Enterprise and Oracle R Connector for Hadoop
por: Hornick, Mark F, et al.
Publicado: (2013)

Hands-on exploratory data analysis with R: become an expert in exploratory data analysis using R packages
por: Datar, Radhika, et al.
Publicado: (2019)

R data mining: implement data mining techniques through practical use cases and real-world datasets
por: Cirillo, Andrea
Publicado: (2017)

Hands-on machine learning with C#: build smart, speedy, and reliable data-intensive applications using machine learning
por: Cole, Matt R
Publicado: (2018)

Internet of Things and big data analytics for smart generation
por: Balas, Valentina E, et al.
Publicado: (2019)

Agile data science 2.0: building full-stack data analytics applications with Spark
por: Jurney, Russell
Publicado: (2017)

Data mining and learning analytics: applications in educational research
por: ElAtia, Samira, et al.
Publicado: (2016)

Practical data science with Hadoop and Spark: designing and building effective analytics at scale
por: Medelevitch, Ofer, et al.
Publicado: (2017)

Hands-on data analysis with Scala: perform data collection, processing, manipulation, and visualization with Scala
por: Gupta, Rajesh
Publicado: (2019)

Web application development with R using Shiny: build stunning graphics and interactive data visualizations to deliver cutting-edge analytics
por: Beeley, Chris, et al.
Publicado: (2018)

Predictive analytics and data mining: concepts and practice with RapidMiner
por: Kotu, Vijay, et al.
Publicado: (2015)

R for data science cookbook: over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
por: Chiu, David
Publicado: (2016)

Modern data science with R
por: Baumer, Benjamin S, et al.
Publicado: (2017)

Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel(r) with XLMiner(r)
por: Shmueli, Galit, et al.
Publicado: (2011)

Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark
por: Kane, Frank
Publicado: (2017)

Mastering machine learning with R: advanced machine learning techniques for building smart applications with R 3.5
por: Lesmeister, Cory
Publicado: (2019)

Practical data science cookbook: practical recipes on data pre-processing, analysis and visualization using R and Python
por: Tattar, Prabhanjan, et al.
Publicado: (2017)

Mastering text mining with R: master text-taming techniques and build effective text-processing applications with R
por: Kumar, Ashish, et al.
Publicado: (2016)

Actionable Web Analytics: Using Data to Make Smart Business Decisions
por: Burby, Jason
Publicado: (2007)

Real-world data mining : applied business analytics and decision making
por: Delen, Dursun
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_qesb53g2a2pj54dkm46vg4m6q5